Physics-based ball tracking and 3D trajectory reconstruction with applications to shooting location estimation in basketball video

被引：57

作者：

Chen, Hua-Tsung ^{[1
]}

Tien, Ming-Chun ^{[2
]}

Chen, Yi-Wen ^{[1
]}

Tsai, Wen-Jiin ^{[1
]}

Lee, Suh-Yin ^{[1
]}

机构：

[1] Natl Chiao Tung Univ, Coll Comp Sci, Hsinchu 300, Taiwan

[2] Natl Taiwan Univ, Grad Inst Networking & Multimedia, Taipei 10617, Taiwan

来源：

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION | 2009年 / 20卷 / 03期

关键词：

Shot classification; Object tracking; Sports video analysis; Camera calibration; Semantic analysis; Multimedia system; 3D trajectory reconstruction; SOCCER VIDEO; FRAMEWORK;

D O I：

10.1016/j.jvcir.2008.11.008

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The demand for computer-assisted game study in sports is growing dramatically. This paper presents a practical video analysis system to facilitate semantic content understanding. A physics-based algorithm is designed for ball tracking and 3D trajectory reconstruction in basketball videos and shooting location statistics can be obtained. The 2D-to-3D inference is intrinsically a challenging problem due to the loss of 3D information in projection to 2D frames. One significant contribution of the proposed system lies in the integrated scheme incorporating domain knowledge and physical characteristics of ball motion into object tracking to overcome the problem of 2D-to-3D inference. With the 2D trajectory extracted and the camera parameters calibrated, physical characteristics of ball motion are involved to reconstruct the 3D trajectories and estimate the shooting locations. Our experiments on broadcast basketball videos show promising results. We believe the proposed system will greatly assist intelligence collection and statistics analysis in basketball games. (C) 2008 Elsevier Inc. All rights reserved.

引用

页码：204 / 216

页数：13

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